Last updated on 2025-12-10
Program Overview
The Master of Engineering in Applied Data Science (MEng) program at the University of Victoria is designed to equip students with the skills necessary for a successful career in data-driven industries. This intensive, course-based degree is tailored for motivated individuals and IT professionals who are eager to learn specialized knowledge in data sciences that are transforming businesses globally. The program emphasizes practical applications of data analytics, preparing graduates to tackle real-world challenges in various sectors.
Program Structure
The MEng in Applied Data Science program is structured to be completed in 1 year of full-time study. The program is delivered on-campus and is designed to provide a dynamic learning experience. Key features of the program structure include:
- Course-based curriculum with a focus on practical applications.
- Optional co-op program available after completing all coursework, allowing students to gain valuable work experience.
- Students do not need to find a supervisor before applying, simplifying the admission process.
This program is ideal for those looking to enhance their expertise in data science while engaging in a collaborative learning environment.
Featured Experiences
- Optional co-op program that provides hands-on experience in the industry.
- Dynamic learning environment that encourages collaboration and practical problem-solving.
- Opportunities to work as a teaching assistant, enhancing both teaching and learning skills.
Career Options
Graduates of the MEng in Applied Data Science program can pursue a variety of career paths in Canada, including:
- Data Analyst: Responsible for interpreting data and providing actionable insights to help organizations make informed decisions.
- Data Scientist: Utilizes statistical methods and machine learning techniques to analyze complex data sets and solve business problems.
- Business Intelligence Analyst: Focuses on analyzing data to inform business strategies and improve operational efficiency.
- Data Engineer: Designs and maintains the architecture that allows for the collection and processing of data, ensuring data quality and accessibility.
- Machine Learning Engineer: Develops algorithms and predictive models that enable machines to learn from data and make decisions.
DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors.
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